Community Perception Survey 2024
16 September 2024
Analysis Plan
#> no calculated indicators has been defined...Automatic Exploration
Group
Enumerator Name
plot_text(datalist, dico, "group_sg8tr67.enumerator_name", datasource=params$datasource)
Organization
plot_text(datalist, dico, "group_sg8tr67.organization", datasource=params$datasource)
Do you agree to participate in this survey?
plot_select_one(datalist, dico, "group_sg8tr67.consent", datasource = params$datasource, n = 5)
——
Group
What is your age group?
plot_select_one(datalist, dico, "group_xt46l40.age_group", datasource = params$datasource, n = 5)
What is your gender?
plot_select_one(datalist, dico, "group_xt46l40.gender", datasource = params$datasource, n = 5)
No
significant text for the question:
group_xt46l40.If_Other_Please_specifyNULL
What is your marital status?
plot_select_one(datalist, dico, "group_xt46l40.marital_status", datasource = params$datasource, n = 5)
What is your highest level of education?
plot_select_one(datalist, dico, "group_xt46l40.education_level", datasource = params$datasource, n = 5)
Household Composition:
plot_select_one(datalist, dico, "group_xt46l40.household_composition", datasource = params$datasource, n = 5)
If Other ? Pleas specify.
plot_text(datalist, dico, "group_xt46l40.HH_Composition_Other", datasource=params$datasource)
What clan do you belong to?
plot_select_one(datalist, dico, "group_xt46l40.clan", datasource = params$datasource, n = 5)
If Other ? Please specify..
plot_text(datalist, dico, "group_xt46l40.If_Other_Please_specify_001", datasource=params$datasource)
6. In which region does the household reside?
plot_select_one(datalist, dico, "group_xt46l40.region", datasource = params$datasource, n = 5)
7. In which district does the household reside?
plot_select_one(datalist, dico, "group_xt46l40.district", datasource = params$datasource, n = 5)
Who
are the individuals/groups in your community that are most vulnerable
plot_select_multiple(datalist, dico, "group_xt46l40.vulnerable_groups", datasource=params$datasource, n=5)
No
significant text for the question:
group_xt46l40.If_Others_Please_specifyNULL Select all that apply
(Women at Risk)
plot_select_multiple(datalist, dico, "group_xt46l40.vulnerable_groups_war", datasource=params$datasource, n=5)
If Others ? Please specify (For Women at Risk - Other)
plot_text(datalist, dico, "group_xt46l40.If_Others_Please_s_omen_at_Risk_Other", datasource=params$datasource)
Select all that apply (Child at Risk)
plot_select_multiple(datalist, dico, "group_xt46l40.vulnerable_groups_car", datasource=params$datasource, n=5)
If Others ? Please specify (For Child at Risk - Other)
plot_text(datalist, dico, "group_xt46l40.If_Others_Please_s_hild_at_Risk_Other", datasource=params$datasource)
Iindividuals/groups in community at risk of excluded from assistance
plot_select_multiple(datalist, dico, "group_xt46l40.at_risk_groups", datasource=params$datasource, n=5)
If Others? Please specify
plot_text(datalist, dico, "group_xt46l40.If_Others_Please_specify_001", datasource=params$datasource)
Select all that apply (Women at Risk)
plot_select_multiple(datalist, dico, "group_xt46l40.at_risk_groups_war", datasource=params$datasource, n=5)
If Others ? Please specify (For Women at Risk - Other)
plot_text(datalist, dico, "group_xt46l40.If_Others_Please_s_omen_at_Risk_Other_001", datasource=params$datasource)
Select all that apply (Child at Risk)
plot_select_multiple(datalist, dico, "group_xt46l40.at_risk_groups_car", datasource=params$datasource, n=5)
No
significant text for the question:
group_xt46l40.If_Others_Please_s_hild_at_Risk_Other_001NULL
Have these at-risk individuals/groups received adequate humanitarian
assistance
plot_select_one(datalist, dico, "group_xt46l40.adequate_assistance", datasource = params$datasource, n = 5)
What
kind of support have they received from the humanitarian partners
plot_select_multiple(datalist, dico, "group_xt46l40.assistance_received", datasource=params$datasource, n=5)
Use CE, gate keepers, community elders, religious elders in providing
assitance
plot_select_one(datalist, dico, "group_xt46l40.community_leaders_assistance", datasource = params$datasource, n = 5)
Challenges
receiving HA from the community leaders, gate keepers, CE, CA
plot_select_multiple(datalist, dico, "group_xt46l40.challenges", datasource=params$datasource, n=5)
If Other ? Please specify.
plot_text(datalist, dico, "group_xt46l40.If_Other_Please_specify_002", datasource=params$datasource)
You selected - Abuse and exploitation, who is committing the incidences?
plot_select_multiple(datalist, dico, "group_xt46l40.perpetrators_Abuse_and_exploit", datasource=params$datasource, n=5)
If Others (Abuse and exploitation)
plot_text(datalist, dico, "group_xt46l40.If_Others_Abuse_and_exploitation", datasource=params$datasource)
You selected - Aid Diversion, who is committing the incidences?
plot_select_multiple(datalist, dico, "group_xt46l40.perpetrators_Aid_Diversion", datasource=params$datasource, n=5)
If Others (Aid Diversion)
plot_text(datalist, dico, "group_xt46l40.If_Others_Aid_Diversion", datasource=params$datasource)
You selected - Corruption, who is committing the incidences?
plot_select_multiple(datalist, dico, "group_xt46l40.perpetrators_corruption", datasource=params$datasource, n=5)
If Others (Corruption)
plot_text(datalist, dico, "group_xt46l40.If_Others_Abuse_and_exploitation_001", datasource=params$datasource)
You selected - Discrimination, who is committing the incidences?
plot_select_multiple(datalist, dico, "group_xt46l40.perpetrators_discrimination", datasource=params$datasource, n=5)
No
significant text for the question:
group_xt46l40.If_Others_DiscriminationNULL You selected - Harassment
and intimidation, who is committing the incidences?
plot_select_multiple(datalist, dico, "group_xt46l40.perpetrators_harassment_intimidation", datasource=params$datasource, n=5)
If Others (Harassmenta and Intimidation)
plot_text(datalist, dico, "group_xt46l40.If_Others_harassment_intimidation", datasource=params$datasource)
You selected - Lack of information, who is committing the incidences?
plot_select_multiple(datalist, dico, "group_xt46l40.perpetrators_lack_of_information", datasource=params$datasource, n=5)
If Others (Lack of information)
plot_text(datalist, dico, "group_xt46l40.If_Others_lack_of_information", datasource=params$datasource)
You selected - Security concerns, who is committing the incidences?
plot_select_multiple(datalist, dico, "group_xt46l40.perpetrators_security_concerns", datasource=params$datasource, n=5)
If Others (Security concerns)
plot_text(datalist, dico, "group_xt46l40.If_Others_security_concerns", datasource=params$datasource)
——
(group_xt46l40.How_effective_do_you_denial_of_assistance.How_effective_do_you_denial_of_assistance)
How effective do you believe the current efforts of the humanitarian community are in addressing the exclusion and denial of assistance?
Prioritizing at risk of exclusion from assistance, such as the
minority groups
plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.a_Prioritizing_thos_the_minority_groups", datasource = params$datasource, n = 5)
b. Beneficiary selection based on their vulnerability.
plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.b_Beneficiary_selec_their_vulnerability", datasource = params$datasource, n = 5)
Training on protection, inclusivity and equality.
plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.c_Targeting_gatekee_usivity_and_equality", datasource = params$datasource, n = 5)
d. Reporting mechanism on cases of exclusion, aid diversion, corruption,
fraud
plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.d_Reporting_mechani_n_corruption_fraud", datasource = params$datasource, n = 5)
Reporting mechanism on cases of harassment, intimidation, abuse,
exploi& abuse
plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.e_Reporting_mechani_tion_and_corruption", datasource = params$datasource, n = 5)
f. Partners/Organizations field presence that engages the community
directly
plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.f_Partners_Organiza_e_community_directly", datasource = params$datasource, n = 5)
Direct channels of communication with the community on beneficiary
entitlement
plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.g_Partners_Organiza_ciary_entitlement_on", datasource = params$datasource, n = 5)
h. Working with community structures such as community committees or
community
plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.h_Working_with_comm_mittees_or_community", datasource = params$datasource, n = 5)
Sharing key messages reporting abuse and exploitation.
plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.i_Partners_Organiza_use_and_exploitation", datasource = params$datasource, n = 5)
Sharing key messages on inclusion, fraud, aid diversion, corruption.
plot_select_one(datalist, dico, "group_xt46l40.How_effective_do_you_denial_of_assistance.j_Partners_Organiza_iversion_corruption", datasource = params$datasource, n = 5)
If you answered either of the above, state your overall reasons why?
plot_text(datalist, dico, "group_xt46l40.reasons_for_effectiveness", datasource=params$datasource)
Summrized using AI and Text Analytics
Lack of Knowledge or Uncertainty: A significant portion of respondents expressed uncertainty, with "I don't know" or "None" being frequent responses, indicating a lack of clarity or awareness regarding the effectiveness of the humanitarian efforts.
Field Presence and Direct Engagement: Some respondents highlighted the field presence of partners/organizations that engage the community directly as being very effective. Direct contact with the community was seen as a positive way to address exclusion.
Beneficiary Selection Issues: Several respondents mentioned challenges during beneficiary selection, pointing to instances where vulnerability is not properly considered, leading to exclusion.
Corruption and Gatekeepers: Corruption was mentioned as a factor affecting the effectiveness of humanitarian efforts, with some respondents citing gatekeepers or local power structures that exploit or manipulate the system, creating barriers to assistance.
Lack of Information and Awareness: Lack of information and community awareness were commonly cited as barriers to the effectiveness of humanitarian efforts. Many felt that insufficient outreach or communication was a root cause of exclusion.
Reporting Mechanisms: Several respondents referred to reporting mechanisms for cases of harassment, abuse, and exploitation. While these systems are acknowledged, some expressed concerns about their effectiveness in addressing issues like corruption.
Community Engagement:A smaller but notable group of respondents highlighted the importance of community engagement and participation in decision-making as a way to improve the effectiveness of humanitarian assistance.
These responses reflect a mixed perception of the humanitarian community’s efforts, with key themes around corruption, beneficiary selection, and lack of information as major barriers to effectiveness. On the other hand, direct engagement and reporting mechanisms were seen as somewhat effective tools in addressing exclusion and denial of assistance.
Ensure the affected population are not excluded or denied assistance
plot_text(datalist, dico, "group_xt46l40.recommendations_engagement", datasource=params$datasource)
Here is a summary of the most common recommendations for how partners and organizations should engage with affected populations to ensure they are not excluded or denied assistance, based on the survey responses: Awareness and Information Sharing: Community awareness and information sharing were frequently mentioned as key strategies. Respondents highlighted the importance of providing accessible and timely information about organizational procedures and assistance.
Fair and Transparent Selection Process: Many respondents emphasized the need for a fair and transparent selection process when determining who receives aid. This includes establishing clear criteria for selection and openly communicating them to the community.
Timely Assistance and Registration: Some respondents recommended registering the entire community and providing timely assistance to those in need. They also stressed that organizations should ensure quick response in delivering aid.
Community Participation: Community participation in decision-making processes was a frequently mentioned recommendation. Involving the community in consultations and beneficiary selection is seen as a way to ensure that aid reaches the right people.
Fair Distribution of Resources: The fair distribution of resources was noted as crucial. Respondents called for fair and equitable aid distribution, ensuring that assistance is provided without discrimination or exclusion.
Face-to-Face Engagement: Face-to-face meetings and more direct engagement with the community were suggested as effective ways to strengthen relationships between organizations and the affected population.
Meeting Basic Needs: Respondents emphasized the importance of covering the basic needs of the affected population, including food, shelter, and security.
These recommendations focus on improving transparency, fairness, communication, and community involvement to ensure that humanitarian efforts effectively reach all members of the community without exclusion or denial of assistance.
Engagement with you/community prior on program dev. or distribution design
plot_select_one(datalist, dico, "group_xt46l40.engagement_frequency", datasource = params$datasource, n = 5)
Believe partners/organizations program or distribution beneficiaries
fairly
plot_select_one(datalist, dico, "group_xt46l40.fairness_selection", datasource = params$datasource, n = 5)
Receive the expected package/resources from partners/organizations?
plot_select_one(datalist, dico, "group_xt46l40.assistance_received_001", datasource = params$datasource, n = 5)
Know where to lodge a complaint or provide feedback to a humanitarian
actor?
plot_select_one(datalist, dico, "group_xt46l40.complaint_lodging", datasource = params$datasource, n = 5)
What do you do as a community to assist those excluded or denied
assistance?plot_text(datalist, dico, "group_xt46l40.community_assistance", datasource=params$datasource)
Here is a summary of the most common responses regarding how the community assists those who are excluded or denied assistance, based on the survey data: Nothing/No Action: A significant number of respondents indicated that nothing is done or they do not know how to assist those who are excluded or denied assistance.
Contributions: Community contributions were a frequent response, where community members help those in need by contributing resources, including food or money, to support those excluded from aid.
Helping Each Other: Some respondents mentioned that the community comes together to help each other, providing mutual support to those left out of formal assistance programs.
Empowerment and Advocacy: Empowering minority groups and advocating for their rights was noted as an important step, with the community raising awareness and advocating for those excluded from receiving aid.
Hotline and Reporting Mechanisms: The use of hotline numbers and reporting mechanisms were mentioned as a means for the community to report instances of exclusion or denial of assistance.
Community Mapping and Meetings: Some communities conduct community mapping to identify individuals who are at risk of being excluded, such as the elderly or disabled, and hold community meetings to discuss how to assist them.
These responses indicate a mix of direct community contributions, mutual aid, and advocacy efforts to help those who are excluded or denied assistance, though some communities are unsure or unable to take any action.
Most significant risks faced by displaced individuals/groups in your community
plot_select_multiple(datalist, dico, "group_xt46l40.displacement_risks", datasource=params$datasource, n=5)
If Others. Please specify.
plot_text(datalist, dico, "group_xt46l40.If_Others_Please_specify_002", datasource=params$datasource)
Give the reasons for the selected protection risks?
plot_text(datalist, dico, "group_xt46l40.reasons_for_risks", datasource=params$datasource)
Here is a detailed summary of the most common reasons for protection risks identified in the data:Vulnerability and Insecurity: A frequent reason for protection risks stems from vulnerability and insecurity, with many respondents citing people's inherent desire to protect themselves from abuse or insecurity.
Lack of Knowledge or Uncertainty: Many respondents indicated "I don't know" or "No" when asked about the reasons for protection risks, suggesting that a portion of the population is either unaware of the specific risks or unable to identify them clearly.
Discriminatory Practices: Discrimination based on ethnicity, religion, gender, disability, or age is a common factor. This exclusion leads to unequal access to resources, services, and protection, increasing vulnerability to risks.
GBV (Gender-Based Violence): GBV is frequently mentioned as a major protection risk. There are references to both general GBV risks and awareness campaigns around GBV.
Eviction and Conflict: Some respondents pointed to evictions and conflicts between groups as major sources of protection risks. This includes conflicts that arise due to competition over resources or social tensions.
Community Awareness and Action Plans: A few responses note that community-based actions, such as awareness groups and protection action plans, are important in mitigating risks. These highlight the importance of organized community efforts in addressing protection issues.
Child Marriage: There are mentions of child marriage, with children being forced into early marriages to support their families financially, which increases their protection risks.
Systemic Failures and Lack of Support: Some respondents cite systemic failures or a lack of protective systems in place, including inadequate legal protection, as contributing to the heightened protection risks for vulnerable populations.
The overall summary reveals that protection risks stem from a combination of vulnerability, insecurity, discriminatory practices, systemic failures, GBV, and socio-economic pressures such as eviction and child marriage.
Positive Coping Mechanism
plot_text(datalist, dico, "group_xt46l40.positive_coping", datasource=params$datasource)
Daily Work and Casual Labor: A significant number of respondents engage in daily work or casual labor as a primary means of coping. This includes both formal and informal work, helping individuals maintain a sense of normalcy and purpose. Community Support and Cooperation: Many respondents emphasize community engagement and support structures. They mention working with community committees or structures, directly communicating with the community to address complaints, and resolving issues collectively.
Several responses reflect the importance of cooperative behavior where people come together to help each other, especially during challenging times.
Volunteering and Assistance for Vulnerable People: Volunteering efforts are highlighted, particularly assisting vulnerable members of the community, such as through water tracking, mediation, and helping individuals manage stress by taking calming measures like breathing exercises.
Resilience and Problem-Solving: The population is reported to use strategies such as resilience and problem-solving when faced with stressful situations. This includes leaving situations that cause stress or finding ways to work through difficulties cooperatively.
Religious and Cultural Practices: Islam and other religious practices are mentioned as positive coping mechanisms, with some turning to faith as a way to handle the stress and challenges they face.
Professional and Social Advocacy: Some responses indicate that people engage in advocacy for their rights, seek professional support, or use social connections to cope. This reflects an active approach in seeking help beyond immediate community circles.
Resource Collection and Self-Sufficiency: Activities such as firewood collection are common, helping people meet their basic needs while also serving as a coping mechanism by giving them a way to maintain self-sufficiency.
Uncertainty or Lack of Knowledge: A number of respondents expressed uncertainty, with many stating "I don't know" or "no" when asked about coping mechanisms, indicating that some are either not aware of positive strategies or lack access to them.
Overall, the responses reflect a combination of individual effort (through work or resource gathering), community-based support, volunteering, and cultural/religious practices as key positive coping mechanisms among the displaced population.
Negative Coping Mechnism
plot_text(datalist, dico, "group_xt46l40.negative_coping", datasource=params$datasource)
Here is a summary of the most common negative coping mechanisms reported by the displaced population, based solely on the survey responses: None/No Action Taken: A significant number of respondents reported "None," "No," or "Nothing" as responses, indicating that many either do not resort to negative coping mechanisms or may not recognize such behaviors.
Begging: Begging was frequently mentioned as a negative coping strategy, used by displaced populations when faced with protection risks.
I Don’t Know/Uncertainty: Some respondents expressed uncertainty with responses like "I don't know," reflecting a lack of clear understanding or awareness of negative coping mechanisms.
Child Labor and Early Marriage: Child labor and early marriages were commonly noted as negative coping mechanisms, where children are sent to work or married off to support the family.
Reducing Meals: Reduction in the number of meals was highlighted, indicating food insecurity as a significant issue that leads to negative coping strategies.
Sending Children to Relatives or Neighbors: Some respondents mentioned sending children to live with relatives or neighbors as a way to cope, which can be risky and lead to potential protection concerns.
Substance Abuse and Risky Behaviors: There were references to displaced populations resorting to substance abuse, aggression, and risky behaviors as a response to protection risks, though these were less commonly noted compared to economic-based strategies like labor or food reduction.
These responses indicate that negative coping mechanisms often center around economic hardship, such as begging, child labor, early marriages, and reducing meals, alongside uncertainty and more distressing behaviors like substance abuse in some cases.
Type of platforms accessible
plot_select_multiple(datalist, dico, "group_xt46l40.info_platforms", datasource=params$datasource, n=5)
If Others ? Please specify.
plot_text(datalist, dico, "group_xt46l40.If_Others_Please_specify_003", datasource=params$datasource)
Are there any programs in place to address negative coping mechanisms
plot_select_one(datalist, dico, "group_xt46l40.negative_coping_programs", datasource = params$datasource, n = 5)
If yes, what programs?
plot_text(datalist, dico, "group_xt46l40.types_of_programs", datasource=params$datasource)
If yes, how effective are these programs?
plot_select_one(datalist, dico, "group_xt46l40.effectiveness_programs", datasource = params$datasource, n = 5)
Which
protection integrated programme is serving your community
plot_select_multiple(datalist, dico, "group_xt46l40.protection_integrated_programs", datasource=params$datasource, n=5)
Community experienced armed conflict in the last 6 months
plot_select_one(datalist, dico, "group_xt46l40.armed_conflict", datasource = params$datasource, n = 5)
If
yes, what type of armed conflict was it? (Select all that apply)
plot_select_multiple(datalist, dico, "group_xt46l40.conflict_types", datasource=params$datasource, n=5)
If Other ? Please specify
plot_text(datalist, dico, "group_xt46l40.If_Other_Please_specify_003", datasource=params$datasource)
Were there any civilian casualties during the conflict? (Select all that
apply)
plot_select_multiple(datalist, dico, "group_xt46l40.civilian_casualties", datasource=params$datasource, n=5)
If Other ? Please specify.
plot_text(datalist, dico, "group_xt46l40.If_Other_Please_specify_004", datasource=params$datasource)
What was the effect of the conflict on affected civilians? (Select one)
plot_select_one(datalist, dico, "group_xt46l40.conflict_effect", datasource = params$datasource, n = 5)
Civilian
objects/properties impacted by the conflict
plot_select_multiple(datalist, dico, "group_xt46l40.civilian_objects", datasource=params$datasource, n=5)
If Other ? Please specify..
plot_text(datalist, dico, "group_xt46l40.If_Other_Please_specify_005", datasource=params$datasource)
For Other ?? Please specify.
plot_select_one(datalist, dico, "group_xt46l40.For_Other_Please_specify", datasource = params$datasource, n = 5)
Consequencees of the attacked on the civilian object (Civilian homes)
plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_ject_Civilian_homes", datasource = params$datasource, n = 5)
Consequencees of the attacked on the civilian object (Population
settlement)
plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_opulation_settlement", datasource = params$datasource, n = 5)
What are the consequencees of the attacked on the civilian object
(Hospital)
plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_ian_object_Hospital", datasource = params$datasource, n = 5)
What are the consequencees of the attacked on the civilian object
(School)
plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_ilian_object_School", datasource = params$datasource, n = 5)
What are the consequencees of the attacked on the civilian object (IDP
Camp)
plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_ian_object_IDP_Camp", datasource = params$datasource, n = 5)
Consequencees of the attacked on the civilian object (Aid distribution
centers)
plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_distribution_centers", datasource = params$datasource, n = 5)
Consequencees of the attacked on the civilian object (Reception center)
plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_ct_Reception_center", datasource = params$datasource, n = 5)
Consequencees of the attacked on the civilian object (Religious
Facility)
plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_Religious_Facility", datasource = params$datasource, n = 5)
Consequencees of the attacked on the civilian object (Water
facility/boreholes)
plot_select_one(datalist, dico, "group_xt46l40.What_are_the_consequ_r_facility_boreholes", datasource = params$datasource, n = 5)
Were the people in need able to access the partners/organizations?
(Select one)
plot_select_one(datalist, dico, "group_xt46l40.access", datasource = params$datasource, n = 5)
What do you do as a community, to protect yourself during armed
conflict?plot_text(datalist, dico, "group_xt46l40.community_protection", datasource=params$datasource)
Here is a summary of the most common actions taken by the community to protect themselves during armed conflict, based on the survey responses: Moving to Safe Areas: A large number of respondents mentioned migration or moving to safe places to protect themselves during armed conflict. This includes seeking refuge in safer zones or areas where they believe they are protected from conflict.
Lying on the Ground and Hiding: Some community members resort to lying on the ground or hiding to avoid being harmed during conflict. This reflects a more immediate physical response to danger.
Displacement and Fleeing: Displacement and fleeing the area are frequently mentioned, with people leaving conflict zones to search for safer environments. This is a common coping mechanism during such crises.
Creating Safe Spaces: Communities sometimes create safe spaces, such as makeshift shelters, or designate specific areas like schools or community centers where civilians can seek refuge during attacks.
Awareness and Preparedness: Awareness campaigns or efforts to prepare for conflict are mentioned, indicating that some communities engage in proactive measures to reduce risks.
Uncertainty: A number of respondents expressed uncertainty or said "I don't know," suggesting that some are unsure of how to protect themselves during armed conflict.
Other Immediate Actions: Respondents also mentioned running away, sleeping down, or staying in their homes as ways to deal with armed conflict situations.
These responses reflect a mix of immediate physical actions (e.g., lying down, hiding), displacement strategies, and the creation of safe spaces for protection during armed conflict.
Has the presence of ATMIS FOB impacted your life in any way
plot_select_one(datalist, dico, "group_xt46l40.atm_presence", datasource = params$datasource, n = 5)
If
Yes ? Select all that apply.
plot_select_multiple(datalist, dico, "group_xt46l40.If_Yes_Select_all_that_apply", datasource=params$datasource, n=5)
If Other ? Please specify..
plot_text(datalist, dico, "group_xt46l40.If_Other_Please_specify_006", datasource=params$datasource)
Concerns on the closure of ATMIS Forward Operating Bases (FOBs) in your
area
plot_select_one(datalist, dico, "group_xt46l40.atm_closure", datasource = params$datasource, n = 5)
If Other ? Please specify..
plot_text(datalist, dico, "group_xt46l40.If_Other_Please_specify_007", datasource=params$datasource)
Give reasons for Yes or No.
plot_text(datalist, dico, "group_xt46l40.closure_reasons", datasource=params$datasource)
Efforts of the hum community in addressing protection risks in your area
plot_select_one(datalist, dico, "group_xt46l40.perception", datasource = params$datasource, n = 5)
Recommendations for improving humanitarian assistance and protection
plot_text(datalist, dico, "group_xt46l40.recommendations_improvement", datasource=params$datasource)
Here is a summary of the most common recommendations for improving humanitarian assistance and protection in the community, based on the survey responses: Community Collaboration and Increased Assistance: Many respondents emphasized the need for greater community collaboration and increased humanitarian assistance, particularly in the delivery of essential services.
Basic Needs: Recommendations frequently highlighted the need to address basic needs such as food, shelter, clean water, and sanitation. Several responses specifically mentioned increasing food rations and improving shelter conditions.
Awareness and Education: There is a call for increased community awareness programs, particularly around protection and hygiene. Raising awareness and educating the population on how to protect themselves is seen as crucial.
Fair Distribution and Accountability: Some respondents stressed the importance of ensuring that aid is distributed fairly and that humanitarian organizations listen to feedback from the community to ensure accountability.
Improved Security: A number of responses pointed to the need for improving security in the community, ensuring safety from conflict or violence.
Support for Livelihoods: Recommendations also include supporting livelihoods and helping families generate income, which would reduce dependence on aid and improve self-sufficiency.
Continuing and Expanding Support: Several respondents expressed appreciation for ongoing support and requested that the humanitarian agencies continue their assistance, with many suggesting expanding the scope of aid programs.
These responses reflect a strong desire for improvements in basic services, enhanced security, greater community engagement, and more equitable distribution of resources.
would you like to receive an update?
plot_select_one(datalist, dico, "group_xt46l40.update", datasource = params$datasource, n = 5)
No
significant text for the question:
group_xt46l40.phone_numberNULL
Summary Likert Charts
2 groups of likert questions in the
formplot_likert(datalist, dico, scopei="group_xt46l40", list_namei="fh0oh18", repeatvari="main",datasource=params$datasource)
plot_likert(datalist, dico, scopei="group_xt46l40.How_effective_do_you_denial_of_assistance", list_namei="hb8kc42", repeatvari="main",datasource=params$datasource)
Annex: Crunching step
This data crunching report allows to quickly explore the results of the survey published in RIDL. It can be regenerated as needed based on the analysis plan you did set up. The objective of this report is to allow to quickly identify potential patterns in your dataset. A quick screening of this initial report should allow to select the most meaningful graphs.
The crunching process produces a lot of visuals. Therefore it is key to carefully select the most relevant visual that will be presented for potential interpretation in the next step. To do so, you simply copy-paste the short syntax in a second notebook to generate as powerpoint presentation. A typical data interpretation session shall not last more than 2hours and include more than 60 visuals to look at in order to keep participants with a good focus level.
In order to guide this selection phase, data experts, in collaboration with the data analysis group, can use the following elements:
For numeric value, check the frequency distributions of each variable to average, deviation, including outlier and oddities
For categorical variables, check for unexpected values: any weird results based on common sense expectations
Use correlation analysis to check for potential contradictions in respondents answers to different questions for identified associations (chi-square)
Always, Check for missing data (NA) or “%of respondent who answered” that you cannot confidently explain
Check unanswered questions, that corresponds to unused skip logic in the questionnaire: For instance, did a person who was never displaced answer displacement-related questions? Were employment-related answers provided for a toddler?
When analyzing those representations in a collective setting during data interpretation sessions, you may:
Reflect: question data quality and/or make suggestions to adjust questions, identify additional cleaning steps;
Interpret: develop qualitative interpretations of data patterns;
Recommend: suggest recommendations in terms of programmatic adjustment;
Classify: define level of sensitivity for certain topics if required;
The report can be regenerated as needed by:
adjusting the report configuration in the xlsform to break it into report and chapter;
configuring disaggregation & correlation for each question;
revising the data cleansing based on the cleaning log;
appending calculated indicators to your data frame to reshape variable - also called feature engineering.